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TAQE: Tweet Retrieval Based Infrastructure Damage Assessment During Disasters

TAQE: Tweet Retrieval Based Infrastructure Damage Assessment During Disasters IEEE BASE PAPER ABSTRACT: Twitter is an active communication channel for the spreading of updated information in emergency situations. Retrieving specific information related to infrastructure damage offers the situational views to …

Personalized Recommendation System based on Collaborative Filtering for IoT Scenarios

Personalized Recommendation System based on Collaborative Filtering for IoT Scenarios IEEE BASE PAPER ABSTRACT: Recommendation technology is an important part of the Internet of Things (IoT) services, which can provide better service for users and help users get information anytime, …

Movie Recommendation System Using Sentiment Analysis From Microblogging Data

Movie Recommendation System Using Sentiment Analysis From Microblogging Data IEEE BASE PAPER ABSTRACT: Recommendation systems (RSs) have garnered immense interest for applications in e-commerce and digital media. Traditional approaches in RSs include such as collaborative filtering (CF) and content-based filtering …

Emotion Detection in Online Social Networks: A Multi-label Learning Approach

Emotion Detection in Online Social Networks: A Multi-label Learning Approach IEEE BASE PAPER ABSTRACT: Emotion detection in online social networks (OSNs) can benefit kinds of applications such as personalized advertisement services, recommendation systems, etc. Conventionally, emotion analysis mainly focuses on …

Detecting Group Shilling Attacks in Online Recommender Systems Based on Bisecting K-Means Clustering

Detecting Group Shilling Attacks in Online Recommender Systems Based on Bisecting K-Means Clustering IEEE BASE PAPER ABSTRACT: Existing shilling attack detection approaches focus mainly on identifying individual attackers in online recommender systems and rarely address the detection of group shilling …

Toward Practical Privacy-Preserving Frequent Itemset Mining on Encrypted Cloud Data

Toward Practical Privacy-Preserving Frequent Itemset Mining on Encrypted Cloud Data IEEE BASE PAPER ABSTRACT: Frequent itemset mining, which is the essential operation in association rule mining, is one of the most widely used data mining techniques on massive datasets nowadays. …

Enabling Efficient User Revocation in Identity-based Cloud Storage Auditing for Shared Big Data

Enabling Efficient User Revocation in Identity-based Cloud Storage Auditing for Shared Big Data IEEE BASE PAPER ABSTRACT: Cloud storage auditing schemes for shared data refer to checking the integrity of cloud data shared by a group of users. User revocation …